本文選題：認知OFDM網(wǎng)絡(luò)　切入點：資源分配　出處：《南京理工大學(xué)》2017年碩士論文

【摘要】：近年來,隨著無線通信技術(shù)的迅猛發(fā)展,人們對無線服務(wù)需求的增長,無線頻譜資源日趨緊張。與此同時,目前的無線頻譜資源分配常采用靜態(tài)的方式,導(dǎo)致授權(quán)頻段內(nèi)存在大量可用空閑頻譜,這導(dǎo)致了頻譜資源的嚴重浪費。認知無線電技術(shù)能夠通過對環(huán)境的感知,不斷對內(nèi)部通信參數(shù)加以合理調(diào)整,從而保持對環(huán)境變化的適應(yīng)性。正交頻分復(fù)用(Orthogonal Frequency Division Multiplexing,OFDM)技術(shù)是一種特殊的多載波調(diào)制技術(shù),它將高速的串行數(shù)據(jù)流分解成若干并行的子數(shù)據(jù)流進行傳輸,能夠有效對抗符號間干擾以及無線信道的頻率選擇性衰落,是第四代移動通信系統(tǒng)(4~(rd) Generation,4G)的核心技術(shù)。OFDM技術(shù)與認知無線網(wǎng)絡(luò)有機地結(jié)合在一起,形成了認知OFDM網(wǎng)絡(luò)。本文研究了認知OFDM網(wǎng)絡(luò)中的資源分配算法,重點研究了 underlay模式的組播網(wǎng)絡(luò)、overlay模式的單播網(wǎng)絡(luò)和overlay模式的組播網(wǎng)絡(luò)的資源分配問題。本文主要工作如下:研究了基于underlay模式的認知OFDM組播網(wǎng)絡(luò)下行鏈路傳輸場景,對基于underlay模式的認知OFDM組播網(wǎng)絡(luò)中的資源分配問題進行了建模,提出了一種基于Zoutendijk可行方向法的最大化能量效率資源分配算法。該算法不僅能夠保證認知用戶對最低傳輸速率需求、授權(quán)用戶的干擾限制要求,以及認知OFDM網(wǎng)絡(luò)基站總功率的限制;還能有效提高認知OFDM組播網(wǎng)絡(luò)的能量效率,改進頻譜效率。仿真結(jié)果表明,該算法的認知OFDM組播網(wǎng)絡(luò)的能量效率和頻譜效率要高于其它算法的能量效率和頻譜效率。研究了基于overlay模式的認知OFDM單播網(wǎng)絡(luò)上行鏈路傳輸場景,對基于overlay模式的認知OFDM單播網(wǎng)絡(luò)中的資源分配問題進行了建模,提出了一種基于罰函數(shù)法的功率最小化資源分配算法。該算法不僅能夠保證認知用戶最小傳輸速率需求以及誤比特率的要求,還能有效降低系統(tǒng)功率消耗。仿真結(jié)果表明,使用該算法的認知OFDM單播網(wǎng)絡(luò)的消耗總功率要低于使用其它算法的消耗總功率。研究了基于overlay模式的認知OFDM組播網(wǎng)絡(luò)下行鏈路傳輸場景,對基于overlay模式的認知OFDM組播網(wǎng)絡(luò)中的資源分配問題進行了建模,提出了一種基于和聲搜索算法的最大化最小傳輸速率資源分配算法。該算法不僅能夠保證認知OFDM組播網(wǎng)絡(luò)基站功率限制和誤比特率的要求,還能有效提高認知OFDM組播網(wǎng)絡(luò)中組播組的最小傳輸速率。仿真結(jié)果表明,使用該算法的認知OFDM組播網(wǎng)絡(luò)的總吞吐量要高于其它算法的總吞吐量。
[Abstract]:In recent years, with the rapid development of wireless communication technology and the increasing demand for wireless services, wireless spectrum resources become increasingly scarce.At the same time, the current allocation of wireless spectrum resources often uses a static way, leading to a large number of available free spectrum in the authorized frequency band, which leads to a serious waste of spectrum resources.Cognitive radio technology can continuously adjust the internal communication parameters through the perception of the environment, so as to maintain the adaptability to environmental changes.Orthogonal Frequency Division Multiplexing (OFDM) is a special multicarrier modulation technique, which decomposes the high-speed serial data stream into several parallel sub-data streams for transmission.It is the core technology of the fourth generation mobile communication system, "Generation 4G", which can effectively counteract intersymbol interference and frequency selective fading of wireless channel. It combines with cognitive wireless network organically and forms a cognitive OFDM network.In this paper, the resource allocation algorithms in cognitive OFDM networks are studied, especially in unicast networks based on underlay mode and unicast networks in overlay mode.The main work of this paper is as follows: the downlink transmission scenario of cognitive OFDM multicast network based on underlay mode is studied, and the resource allocation problem in cognitive OFDM multicast network based on underlay mode is modeled.A maximum energy efficiency resource allocation algorithm based on Zoutendijk feasible direction method is proposed.This algorithm can not only guarantee the minimum transmission rate requirement of cognitive users, the interference limitation requirements of authorized users, and the limit of total power of cognitive OFDM network, but also effectively improve the energy efficiency and spectral efficiency of cognitive OFDM multicast networks.Simulation results show that the energy efficiency and spectral efficiency of the cognitive OFDM multicast network are higher than those of other algorithms.The uplink transmission scenario of cognitive OFDM unicast network based on overlay mode is studied. The resource allocation problem in cognitive OFDM unicast network based on overlay mode is modeled and a power minimization resource allocation algorithm based on penalty function is proposed.This algorithm can not only guarantee the minimum transmission rate and bit error rate requirements of cognitive users, but also reduce the power consumption of the system effectively.Simulation results show that the total power consumption of cognitive OFDM unicast networks using this algorithm is lower than that of other algorithms.The downlink transmission scenario of cognitive OFDM multicast network based on overlay mode is studied, and the resource allocation problem in cognitive OFDM multicast network based on overlay mode is modeled.A maximum minimum transmission rate resource allocation algorithm based on harmonic search algorithm is proposed.This algorithm can not only meet the requirements of power limitation and bit error rate (BER) of cognitive OFDM multicast networks, but also improve the minimum transmission rate of multicast groups in cognitive OFDM multicast networks.Simulation results show that the total throughput of cognitive OFDM multicast networks using this algorithm is higher than that of other algorithms.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN929.53

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相關(guān)期刊論文 前1條

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本文編號：1715814